Invited Speakers
Key Note:
Tracking Minds and Movements: Adaptive Reading Systems and Eye‑Tracking in Natural Settings
Prof. Per Bækgaard
Associate Professor, PhD, MSc EE
Head of Study, Human-Centered Artificial Intelligence (MSc)
DTU Compute
Abstract of the Talk
Leveraging gaze, cognition, and real‑world data to build the next generation of human‑aware technologies.
Eye-tracking has for more than 100 years provided a window into users' attentional state. In the 1960s, Kahneman & Beatty further pioneered the use of pupil dilation as a physiological marker of cognitive load, laying the foundation for cognitive‑state inference in modern gaze‑based systems. With the recent arrival of affordable and portable eye-tracking systems, and advances in machine learning and neural networks, eye-tracking is poised to become a powerful lens into human cognition across diverse real-world settings.
One emerging example is cognition‑adaptive reading systems that dynamically adjust typography, layout, and content presentation based on indicators of reading strategy, cognitive load, intent, and fatigue. These systems demonstrate how gaze can serve as a continuous, unobtrusive channel for sensing mental states, potentially enabling interfaces that respond intelligently and empathetically to the reader’s needs.
This keynote also explores eye-tracking technology “in the wild”, highlighting applications where gaze and pupil can offer additional insights outside of traditional Human—Computer Interaction (HCI). Examples include systems that support either here-and-now or longitudinal diagnostic insights outside of clinical settings — such as systems that capture nystagmus eye movements during vertigo attacks — despite their inherently lower precision. Together, these examples illustrate a broader shift: eye-tracking is evolving into a versatile, everyday tool for understanding human behavior, whether supporting learning, enhancing accessibility, or documenting perceptual events in natural environments.
By connecting adaptive cognitive interfaces with real‑world gaze sensing, this keynote argues for a unified vision of gaze‑driven technologies that honor the richness of human perception and serve the wider field of community services from e.g. enriched Human—Computer Interaction through shared attention in collaboration, to eHealth remote diagnostic insights. The keynote seeks to outline emerging opportunities and challenges, as well as providing some insights into design principles for building systems that respect and support user agency and empowerment while unlocking deeper, more actionable insights.
Keywords: Human-Computer Interaction (HCI), User Experience, Eye Tracking
Invited Talk:
People Empower Technology, When They Can: Evidence-Based Perspectives on Generative AI Adoption in Software Engineering
Prof. Daniel Russo
Department of Computer Science, Aalborg University, Copenhagen
Abstract of the Talk
Generative AI tools are changing how software gets built, but we still have a limited grasp of what determines whether practi- tioners adopt these tools on their own terms. This paper pulls together findings from a programme of empirical research on GenAI adoption in software engineering, built around the Human-AI Collaboration and Adaptation Framework (HACAF). Across convergent mixed-methods ev- idence from 283 software engineers, companion studies on cultural values and task-specific adoption, and a community-driven research agenda on creativity, the paper makes a simple argument: workflow compatibil- ity, not perceived usefulness, is what actually drives adoption. It then presents the Copenhagen Manifesto, a normative framework written by 35 researchers, organized around four principles for human-centred AI in software engineering: responsibility, transparency, inclusivity, and sus- tainability. The paper closes with implications for communities deploying AI-powered services, connecting the empirical findings to the I4CS 2026 conference theme “People Empower Technology.”-stack perspective on quantum computing can serve as a powerful framework for advancing community-centric solutions.
Keywords: Generative AI, Software Engineering, Technology Adoption, Human-Centred AI, Copenhagen Manifesto
Invited Talk:
From Cells to Systems: A Cross‑Disciplinary Perspective on the Potential and Challenges of Digital Twins
Dr. Martin Wolfgang Lauer-Schmaltz
Digital Twin Lead, Digital Engineering Department,
martin.lauer-schmaltz@liquidwind.com
Abstract of the Talk
Digital Twins are reshaping both personalized healthcare and large‑scale industrial systems. While all Digital Twins share the same underlying core concept—a continuously updated virtual representation of a physical system—their goals, data landscapes, and development pathways can differ profoundly. Drawing on experience from Human Digital Twins and Digital Twins for eFuel production facilities, this talk highlights how virtual models can unlock new insights, improve decision‑making, and drive operational excellence across disciplines. It outlines where development steps align and where each application introduces its own distinct challenges, shaped by the nature of the system being modelled. Together, these contrasts illustrate how a single foundational idea can evolve into markedly different Digital Twin architectures, each optimized for its specific domain.
Keywords: Digital Twins, eFuel production facilities, Personalized healthcare